docstr: prediction function
docstr_tok: ["prediction","function"]
code: def predict_fn(self, input_instance):
      """prediction function"""
      temp_preds = self.model.get_output(input_instance).numpy()
      return np.array(
          [
              preds[(self.num_output_nodes - 1) :]
              for preds in temp_preds
          ],
          dtype=np.float32,
      )
  
imports: import copy
  import random
  import timeit
  import numpy
  import tensorflow
  from dice_ml import diverse_counterfactuals
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 3 for calling the DiceTensorFlow2 obj's underlying member method code with example usage: obj.predict_fn(input_instance) and returns: np